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2024 International Conference on Communication, computer Sciences and engineering, IC3SE 2024

作者： Srilekha, Gopu Santosh Kumar, B. Singh, Navdeep Singh, Jay Bhavana, Munugapati Jabbar, Ahmed Sabah Abed AL-Zahra Institute Of Aeronautical Engineering Department Of Computer Science And Engineering Telangana Hyderabad India New Horizon College Of Engineering Department Of Computer Science Engineering Bangalore India Lovely Professional University Phagwara India Gl Bajaj Institute Of Technology & Management U.P. Greater Noida India Mlr Institute Of Technology Department Of Computer Science And Information Technology Telangana Hyderabad India College Of Medical Technology The Islamic University Medical Laboratory Technology Department Najaf Iraq

ISBN: (纸本)9798350366846

QKD, ECC, PQC, SMPC, and biometric-based authentication are examined in this work as essential information-theoretic security approaches. Each solution improves information-theoretic security by improving communication, error reduction, quantum-resistant cryptography, project collaboration, and identity verification. Quantum Key Distribution employs quantum entanglement and regular transmission to secure key exchange in a 12-step flowchart. Error-Correcting Code Implementation employs Reed-Solomon codes to discover and rectify errors in delivered messages in 10 steps, protecting data. Post-Quantum Cryptography uses a 10-step graphic to demonstrate lattice-based solutions for post-quantum security and secure communication. A 10-step 'safe multi-party computing' procedure enables individuals to collaborate on a computer project while safeguarding their privacy. It uses homomorphic encryption to secure protected data computations. Biometric authentication employs biometric data to verify a person's name in 10 steps with complicated arithmetic. Tables and graphs indicate that the information-theoretic approach outperforms other security techniques in key size, quantum attack resistance, authentication strength, and total security. These results demonstrate that the suggested strategy may considerably increase information-theoretic security in many scenarios. The response to the developing field of information security is robust. © 2024 IEEE.

关键词： Quantum cryptography

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Green Concerns in Federated Learning over 6G

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China Communications 2022年第3期19卷 50-69页

作者： Borui Zhao Qimei Cui Shengyuan Liang Jinli Zhai Yanzhao Hou Xueqing Huang Miao Pan Xiaofeng Tao National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and TelecommunicationsBeijing100876China Department of Computer Science New York Institute of TechnologyOld WestburyNY11568USA Department of Electrical and Computer Engineering University of HoustonHoustonTX77204USA

As Information,Communications,and Data Technology(ICDT)are deeply integrated,the research of 6G gradually ***,federated learning(FL)as a distributed artificial intelligence(AI)framework is generally believed to be the most promising solution to achieve“Native AI”in *** the adoption of energy as a metric in AI and wireless networks is emerging,most studies still focused on obtaining high levels of accuracy,with little consideration on new features of future networks and their possible impact on energy *** address this issue,this article focuses on green concerns in FL over *** first analyze and summarize major energy consumption challenges caused by technical characteristics of FL and the dynamical heterogeneity of 6G networks,and model the energy consumption in FL over 6G from aspects of computation and *** classify and summarize the basic ways to reduce energy,and present several feasible green designs for FL-based 6G network architecture from three *** to the simulation results,we provide a useful guideline to researchers that different schemes should be used to achieve the minimum energy consumption at a reasonable cost of learning accuracy for different network scenarios and service requirements in FL-based 6G network.

关键词： 6G native AI federated learning radio access network green communications

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Probabilistic Prequalification Scheme of a Distribution System Operator for Supporting Market Participation of Multiple Distributed Energy Resource Aggregators

IEEE Transactions on Energy Markets, Policy and Regulation

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IEEE Transactions on Energy Markets, Policy and Regulation 2024年第4期2卷 465-475页

作者： Jeong, Chang Min Moon, Hee Seung Kim, Seung Wan Seoul National University Electric Power Network Economics Laboratory Department of Electrical and Computer Engineering Seoul08826 Korea Republic of Lawrence Berkeley National Laboratory Energy Technology Area BerkeleyCA94720 United States Chungnam National University Smart Energy Network Design Laboratory Department of Electrical Engineering Daejeon34134 Korea Republic of

This paper addresses the need for distribution system operators to effectively manage uncertainties related to distributed energy resources. We propose a probabilistic approach using Polynomial Chaos Expansion, allowing the operator to balance economic efficiency with system reliability by setting a pre-determined acceptable violation probability. This approach provides efficient computation and high accuracy in the representation of uncertainties. Moreover, we introduce a framework for integrating the capability of distributed energy resources aggregators to manage uncertainties through the uncertainty band commodity. This allows these aggregators to bid for both energy and a specified uncertainty range, thereby contributing to their active role in the management of system uncertainties. Our methodology fairly distributes responsibility for constraint violations among various stakeholders by employing two allocation strategies: one based on Shapley Value and another based on sensitivity factors. The proposed system significantly improves the overall decision-making process by considering both economic and reliability factors within the prequalification process of distribution system operator. © 2024 IEEE.

关键词： Decision making

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Characterization and Performance Evaluation of Photo-Aligned Azo-Dye Thin-Film Polarizers

Characterization and Performance Evaluation of Photo-Aligned...

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International Conference on Display Technology, 2024

作者： Cheng, Yue-Chu Tseng, Man-Chun Ho, Yeuk-Lung Vashchenko, Olena Vashchenko, Valerii Tang, Shu-Tuen Yeung, Sze-Yan Kwok, Hoi-Sing State Key Laboratory of Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

This study presents the characterization and performance evaluation of photo-aligned azo-dye thin-film polarizers, highlighting their ultra-thin profiles and superior optical functionalities. Utilizing cost-effective solution-processing methods, these high-efficiency polarizers were developed, with the research pinpointing optimal experimental conditions for peak performance. © 2024 John Wiley and Sons Inc. All rights reserved.

关键词： Azo dyes

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A microfluidic biosensor for the diagnosis ofchronic wasting disease

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Microsystems & Nanoengineering 2023年第4期9卷 263-279页

作者： Sura A.Muhsin Amjed Abdullah Estela kobashigawa Muthana Al-Amidie Sherri Russell Michael Z.Zhang Shuping Zhang Mahmoud Almasri University of Missouri–Columbia Electrical Engineering and Computer ScienceColumbiaMOUSA University of Missouri–Columbia College of Veterinary MedicineVeterinary Medical Diagnostic LaboratoryColumbiaMOUSA Missouri Department of Conservation ColumbiaMOUSA

Cervids are affected by a neurologic disease that is always fatal to individuals and has population effects. This disease iscalled chronic wasting disease (CWD) and is caused by a misfolded prion protein. The disease is transmitted viacontact with contaminated body fluids and tissue or exposure to the environment, such as drinking water or *** CWD diagnosis depends on ELISA screening of cervid lymph nodes and subsequent immunohistochemistry(IHC) confirmation of ELISA-positive results. The disease has proven to be difficult to control in part because ofsensitivity and specificity issues with the current test regimen. We have investigated an accurate, rapid, and low-costmicrofluidic microelectromechanical system (MEMS) biosensing device for the detection of CWD pathologic prions inretropharyngeal lymph nodes (RLNs), which is the current standard type of CWD diagnostic sample. The deviceconsists of three novel regions for concentrating, trapping, and detecting the prion. The detection region includes anarray of electrodes coated with a monoclonal antibody against pathologic prions. The experimental conditions wereoptimized using an engineered prion control antigen. Testing could be completed in less than 1 hour with highsensitivity and selectivity. The biosensor detected the engineered prion antigen at a 1:24 dilution, while ELISA detectedthe same antigen at a 1:8 dilution. The relative limit of detection (rLOD) of the biosensor was a 1:1000 dilution of aknown strong positive RLN sample, whereas ELISA showed a rLOD of 1:100 dilution. Thus, the biosensor was 10 timesmore sensitive than ELISA, which is the currently approved CWD diagnostic test. The biosensor’s specificity andselectivity were confirmed using known negative RPLN samples, a negative control antibody (monoclonal antibodyagainst bovine coronavirus BCV), and two negative control antigens (bluetongue virus and Epizootic hemorrhagicdisease virus). The biosensor’s ability to detect pathogenic prions was

关键词： fir diagnosis specificity

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A Mathematical Model for the Selection of Software Requirements Elicitation Techniques 6th

A Mathematical Model for the Selection of Software Requireme...

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6th International Conference on Information Systems and Management Science, ISMS 2023

作者： Saxena, Virat Raj Yadav, Rajeev Parveen, Azra Sadiq, Mohd. Department of Computer Science and Engineering Mangalayatan University Uttar Pradesh Aligarh202001 India Indraprastha Research Laboratory Indraprastha Institute of Information Sciences Private Limited New Delhi110025 India Software Engineering Laboratory Computer Engineering Section UPFET Jamia Millia Islamia A Central University New Delhi110025 India

ISBN: (纸本)9783031664090

Various techniques have been developed for the identification of different types of requirements like interview, questionnaire, group elicitation techniques, attributed goal-oriented requirements analysis, fuzzy based goal-oriented requirements analysis method, non-functional requirements framework, etc. Based on the critical analysis of requirements elicitation methods, we found that single elicitation technique is not suitable to understand the need of the stakeholders. In real life applications, multiple elicitation techniques are required to elicit and select the requirements of an information system because each technique has its strength and limitations. Therefore, to address this issue, this paper presents a mathematical model for the selection of requirements elicitation techniques so that complete set of requirements along with its priority can be identified before the development of an information system. The institute examination system is considered to show the applicability of the proposed mathematical model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Software testing

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Data Fusion-based Hybrid Framework for Cyber-physical Security of the Smart Grid

Data Fusion-based Hybrid Framework for Cyber-physical Securi...

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2024 Resilience Week, RWS 2024

作者： Boamah, Sharon A. Mathieu, Reynold Faillace, Victor Agnew, Dennis McNair, Janise Bretas, Arturo University of Florida Department of Electrical and Computer Engineering GainesvilleFL United States Sandia National Laboratory Distributed Systems Group United States

ISBN: (纸本)9798350388985

The integration of information communication technology with the power grid exposes it to cyber threats. The network state estimation process provides stability to the smart grid. The communication network plays a major role in ensuring the successful transmission of state information. However, these network measurements are vulnerable to malicious attacks. This subsequently affects the network measurement such as associated high transmission delays and packet losses affecting the reliability of the smart grid. In this work, we propose a hybrid physics-based data-driven model that uses data fusion from the state-of-the-art physics-based Network State Estimation model and a data-driven model to detect false data injection attacks in the communication network layer of the smart grid. The performance of the data fusion method is evaluated and the simulation results show that the proposed model outperforms the standalone approaches in the detection of bad data. This shows that the proposed scheme is able to improve the cyber-physical security of the communication network layer of the smart grid. © 2024 IEEE.

关键词： Cyber attacks

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Historical Analysis of Financial Fraud and Its Future

Historical Analysis of Financial Fraud and Its Future

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International Conference on Applied Soft Computing and Communication Networks, ACN 2023

作者： Girish, K.K. Bhowmik, Biswajit Department of Computer Science and Engineering Ishwarchandra Vidyasagar AIT Lab BRICS Laboratory National Institute of Technology Karnataka Surathkal Mangalore575025 India

ISBN: (纸本)9789819720033

As the world is sailing toward a highly advanced digital financial culture with the advent of financial technologies (FinTech), more and more people are now under the shore of financial inclusion. Subsequently, new opportunities are created in the financial sector, making it possible for people who were previously unbanked or underbanked to access financial services. However, the rise in financial fraud and its potential implications are creating a rift in the financial sector, resulting in substantial economic losses across the globe. This paper provides an in-depth comprehension of financial fraud, encompassing its historical perspectives and ramifications. After that, factors contributing to fraudulent behavior are highlighted. In addition, the paper presents a comprehensive framework for fraud classification and accentuates the impacts of financial fraud. Furthermore, the paper underscores the aspects influencing future occurrences of financial fraud, enabling the formulation of proactive strategies to prevent and mitigate it. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Losses

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Emergence, Evolution, and Applications of Cyber-Physical Systems in Smart Society 4

Emergence, Evolution, and Applications of Cyber-Physical Sys...

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4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Kumar, Sunil Bhowmik, Biswajit National Institute of Technology Karnataka Maharshi Patanjali Cps Lab Brics Laboratory Department of Computer Science and Engineering Surathkal Mangalore575025 India

ISBN: (纸本)9798350343670

With rapid technological advancement, cyber-physical systems (CPS) become an emerging era of engineered systems based on computing, networking, and control technologies that revolutionize human lives. New and smart CPS drives innovation and competition in industrial automation, transportation, healthcare applications, etc. Therefore, it is essential to explore the area. The paper presents the emergence of CPS. It includes CPS's evolution, its necessity, and its importance. Then, we explore the diverse applications of CPS in a smart society. Next, we explore various challenges and recent state-of-the-art to overcome these challenges. CPS connects strongly to the currently prevalent terms Internet of Things, the Industrial Internet, Industry 4.0, and Internet of Everything. All of these illustrate a technology that fundamentally connects the physical and digital worlds. CPS is more foundational and durable than all of these. Thus, the work presented here provides a view of substantial social consequences, making its trend progressive. © 2024 IEEE.

关键词： CPS Application CPS Challenges and Research Dimensions CPS Classification CPS Emergence Cyber-Physical Systems

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Automatic Liver Tumor Segmentation in CT Modalities Using MAT-ACM

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computer Systems Science & engineering 2022年第12期43卷 1057-1068页

作者： S.Priyadarsini Carlos Andrés Tavera Romero Abolfazl Mehbodniya P.Vidya Sagar Sudhakar Sengan Department of Computer Science and Engineering P.S.R.Engineering CollegeSivakasiTamil Nadu626123India COMBA R&D Laboratory Faculty of EngineeringUniversidad Santiago de CaliCali76001Colombia Department of Electronics and Communications Engineering Kuwait College of Science and TechnologyKuwait Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAndhra Pradesh522502India Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveliTamil Nadu627152India

In the recent days, the segmentation of Liver Tumor (LT) has beendemanding and challenging. The process of segmenting the liver and accuratelyspotting the tumor is demanding due to the diversity of shape, texture, and intensity of the liver image. The intensity similarities of the neighboring organs of theliver create difficulties during liver segmentation. The manual segmentation doesnot provide an accurate segmentation because the results provided by differentmedical experts can vary. Also, this manual technique requires a large numberof image slices and time for segmentation. To solve these issues, the Fully Automatic Segmentation (FAS) technique is proposed. In this proposed Multi-AngleTexture Active Contour Model (MAT-ACM) method, the input Computed Tomography (CT) image is preprocessed by Contrast Enhancement (CE) with Non-Linear Mapping Technique (NLMT), in which the liver is differentiated from itsneighbouring soft tissues with related strength. Then, the filtered images are givenas the input to Adaptive Edge Modeling (AEM) with Canny Edge Detection(CED) technique, which segments the Liver Region (LR) from the given CTimages. An AEM with a CED model is implemented, which increases the convergence speed of the iterative process for decreasing the Volumetric Overlap Error(VOE) is 6.92% rates when compared with the traditional Segmentation Techniques (ST). Finally, the Liver Tumor Segmentation (LTS) is developed by applyingthe MAT-ACM, which accurately segments the LR from the segmented LRs. Theevaluation of the proposed method is compared with the existing LTS methodsusing various performance measures to prove the superiority of the proposedMAT-ACM method.

关键词： Computed tomography contrast enhancement adaptive edge modeling multi-angle texture active contour liver tumor segmentation

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